Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells38
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory791.0 KiB
Average record size in memory81.0 B

Variable types

Numeric1
Text7
Categorical1

Dataset

Description예산군 군립 도서관 소장 도서 목록 예산군 군립 도서관과 삽교 군립 도서관의 도서 소장 목록 등록번호 청구기호 서명 저작자 발행자 발행년 가격 위치에 대한 정보
URLhttps://www.data.go.kr/data/15086772/fileData.do

Alerts

연번 is highly overall correlated with 분관High correlation
분관 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:23:46.499819
Analysis finished2023-12-11 23:23:49.421913
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39100.128
Minimum4
Maximum77731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:23:49.489537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4169.75
Q119862.75
median38924.5
Q358498.5
95-th percentile73960.05
Maximum77731
Range77727
Interquartile range (IQR)38635.75

Descriptive statistics

Standard deviation22381.931
Coefficient of variation (CV)0.57242603
Kurtosis-1.2001209
Mean39100.128
Median Absolute Deviation (MAD)19325.5
Skewness-0.0039014896
Sum3.9100128 × 108
Variance5.0095082 × 108
MonotonicityNot monotonic
2023-12-12T08:23:49.627894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13326 1
 
< 0.1%
44951 1
 
< 0.1%
41720 1
 
< 0.1%
52587 1
 
< 0.1%
43933 1
 
< 0.1%
57888 1
 
< 0.1%
7795 1
 
< 0.1%
22915 1
 
< 0.1%
68279 1
 
< 0.1%
39389 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
13 1
< 0.1%
24 1
< 0.1%
31 1
< 0.1%
34 1
< 0.1%
66 1
< 0.1%
71 1
< 0.1%
79 1
< 0.1%
82 1
< 0.1%
84 1
< 0.1%
ValueCountFrequency (%)
77731 1
< 0.1%
77720 1
< 0.1%
77701 1
< 0.1%
77694 1
< 0.1%
77664 1
< 0.1%
77662 1
< 0.1%
77645 1
< 0.1%
77639 1
< 0.1%
77638 1
< 0.1%
77626 1
< 0.1%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:23:49.830320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowYM0000013708
2nd rowKM0000009512
3rd rowEM0000020111
4th rowKM0000024631
5th rowKM0000017491
ValueCountFrequency (%)
ym0000013708 1
 
< 0.1%
ym0000023604 1
 
< 0.1%
ym0000022890 1
 
< 0.1%
em0000020919 1
 
< 0.1%
km0000006398 1
 
< 0.1%
km0000018381 1
 
< 0.1%
km0000009017 1
 
< 0.1%
km0000023964 1
 
< 0.1%
ym0000007992 1
 
< 0.1%
km0000010188 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T08:23:50.154708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56774
47.3%
M 10000
 
8.3%
2 7327
 
6.1%
1 7162
 
6.0%
Y 4905
 
4.1%
5 4672
 
3.9%
3 4620
 
3.9%
4 4097
 
3.4%
6 3864
 
3.2%
7 3857
 
3.2%
Other values (5) 12722
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
83.3%
Uppercase Letter 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56774
56.8%
2 7327
 
7.3%
1 7162
 
7.2%
5 4672
 
4.7%
3 4620
 
4.6%
4 4097
 
4.1%
6 3864
 
3.9%
7 3857
 
3.9%
9 3844
 
3.8%
8 3783
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
M 10000
50.0%
Y 4905
24.5%
K 3323
 
16.6%
E 1765
 
8.8%
G 7
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56774
56.8%
2 7327
 
7.3%
1 7162
 
7.2%
5 4672
 
4.7%
3 4620
 
4.6%
4 4097
 
4.1%
6 3864
 
3.9%
7 3857
 
3.9%
9 3844
 
3.8%
8 3783
 
3.8%
Latin
ValueCountFrequency (%)
M 10000
50.0%
Y 4905
24.5%
K 3323
 
16.6%
E 1765
 
8.8%
G 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56774
47.3%
M 10000
 
8.3%
2 7327
 
6.1%
1 7162
 
6.0%
Y 4905
 
4.1%
5 4672
 
3.9%
3 4620
 
3.9%
4 4097
 
3.4%
6 3864
 
3.2%
7 3857
 
3.2%
Other values (5) 12722
 
10.6%

청구기호
Text

Distinct9867
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:23:50.414973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length11.5407
Min length4

Characters and Unicode

Total characters115407
Distinct characters672
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9750 ?
Unique (%)97.5%

Sample

1st row843.6-트296ㅊ-v.1
2nd row아990.94-역52ㅂ-19
3rd row151.52-백57ㄷ
4th row아808.91-이63ㅎ-5
5th row아325.211-포52ㅁ-v.3
ValueCountFrequency (%)
향911.77-예52ㅇ 6
 
0.1%
833.6-히12ㅇ 4
 
< 0.1%
유808.91-피298ㅋ 4
 
< 0.1%
813.7-김14ㅅ 3
 
< 0.1%
유808.91-춤85ㅋ 3
 
< 0.1%
아859.7-얀55ㅁ 3
 
< 0.1%
818-양56ㅇ 3
 
< 0.1%
아813.8-최67ㅇ 3
 
< 0.1%
911.05-신45조 3
 
< 0.1%
813.7-김56ㄱ 3
 
< 0.1%
Other values (9859) 9967
99.7%
2023-12-12T08:23:50.882463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13004
 
11.3%
8 11397
 
9.9%
1 9688
 
8.4%
. 8695
 
7.5%
3 7636
 
6.6%
2 6870
 
6.0%
4 6390
 
5.5%
9 6225
 
5.4%
5 5858
 
5.1%
6 5369
 
4.7%
Other values (662) 34275
29.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68444
59.3%
Other Letter 22921
 
19.9%
Dash Punctuation 13004
 
11.3%
Other Punctuation 8695
 
7.5%
Lowercase Letter 1581
 
1.4%
Uppercase Letter 435
 
0.4%
Math Symbol 319
 
0.3%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2397
 
10.5%
ㅇ 1882
 
8.2%
ㅅ 1178
 
5.1%
ㄱ 979
 
4.3%
김 961
 
4.2%
유 906
 
4.0%
이 895
 
3.9%
ㄴ 636
 
2.8%
ㅎ 625
 
2.7%
ㅈ 615
 
2.7%
Other values (598) 11847
51.7%
Lowercase Letter
ValueCountFrequency (%)
v 1356
85.8%
o 30
 
1.9%
j 28
 
1.8%
s 24
 
1.5%
m 14
 
0.9%
h 13
 
0.8%
b 12
 
0.8%
d 11
 
0.7%
p 11
 
0.7%
c 10
 
0.6%
Other values (13) 72
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
F 230
52.9%
N 31
 
7.1%
O 28
 
6.4%
D 19
 
4.4%
S 14
 
3.2%
G 13
 
3.0%
B 12
 
2.8%
L 11
 
2.5%
A 9
 
2.1%
W 9
 
2.1%
Other values (13) 59
 
13.6%
Decimal Number
ValueCountFrequency (%)
8 11397
16.7%
1 9688
14.2%
3 7636
11.2%
2 6870
10.0%
4 6390
9.3%
9 6225
9.1%
5 5858
8.6%
6 5369
7.8%
7 5248
7.7%
0 3763
 
5.5%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 13004
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8695
100.0%
Math Symbol
ValueCountFrequency (%)
= 319
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90470
78.4%
Hangul 22921
 
19.9%
Latin 2016
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2397
 
10.5%
ㅇ 1882
 
8.2%
ㅅ 1178
 
5.1%
ㄱ 979
 
4.3%
김 961
 
4.2%
유 906
 
4.0%
이 895
 
3.9%
ㄴ 636
 
2.8%
ㅎ 625
 
2.7%
ㅈ 615
 
2.7%
Other values (598) 11847
51.7%
Latin
ValueCountFrequency (%)
v 1356
67.3%
F 230
 
11.4%
N 31
 
1.5%
o 30
 
1.5%
O 28
 
1.4%
j 28
 
1.4%
s 24
 
1.2%
D 19
 
0.9%
S 14
 
0.7%
m 14
 
0.7%
Other values (36) 242
 
12.0%
Common
ValueCountFrequency (%)
- 13004
14.4%
8 11397
12.6%
1 9688
10.7%
. 8695
9.6%
3 7636
8.4%
2 6870
7.6%
4 6390
7.1%
9 6225
6.9%
5 5858
6.5%
6 5369
5.9%
Other values (8) 9338
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92486
80.1%
Hangul 13869
 
12.0%
Compat Jamo 9052
 
7.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13004
14.1%
8 11397
12.3%
1 9688
10.5%
. 8695
9.4%
3 7636
8.3%
2 6870
7.4%
4 6390
6.9%
9 6225
6.7%
5 5858
6.3%
6 5369
5.8%
Other values (54) 11354
12.3%
Hangul
ValueCountFrequency (%)
아 2397
 
17.3%
김 961
 
6.9%
유 906
 
6.5%
이 895
 
6.5%
박 367
 
2.6%
정 229
 
1.7%
최 208
 
1.5%
조 173
 
1.2%
한 163
 
1.2%
오 157
 
1.1%
Other values (579) 7413
53.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1882
20.8%
ㅅ 1178
13.0%
ㄱ 979
10.8%
ㄴ 636
 
7.0%
ㅎ 625
 
6.9%
ㅈ 615
 
6.8%
ㅁ 601
 
6.6%
ㅂ 597
 
6.6%
ㄷ 538
 
5.9%
ㅊ 428
 
4.7%
Other values (9) 973
10.7%

서명
Text

Distinct9904
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:23:51.336754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length83
Mean length19.9411
Min length1

Characters and Unicode

Total characters199411
Distinct characters1804
Distinct categories18 ?
Distinct scripts5 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9814 ?
Unique (%)98.1%

Sample

1st row천사학. 1
2nd row쯩자매 : 베트남의 독립을 이룬 자매 여왕
3rd row대숲에 앉아 천명도를 그리네
4th row강아지 시험
5th row(만화)마시멜로 이야기. 3: 나의 오늘을 특별한 내일로 만들자
ValueCountFrequency (%)
4041
 
7.7%
이야기 420
 
0.8%
장편소설 359
 
0.7%
1 314
 
0.6%
2 272
 
0.5%
위한 189
 
0.4%
내 186
 
0.4%
우리 180
 
0.3%
나는 158
 
0.3%
3 116
 
0.2%
Other values (22470) 46036
88.1%
2023-12-12T08:23:52.191396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43743
 
21.9%
: 3990
 
2.0%
의 3861
 
1.9%
이 3664
 
1.8%
는 2836
 
1.4%
기 2079
 
1.0%
사 1900
 
1.0%
가 1833
 
0.9%
한 1791
 
0.9%
리 1766
 
0.9%
Other values (1794) 131948
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128340
64.4%
Space Separator 43743
 
21.9%
Lowercase Letter 11515
 
5.8%
Other Punctuation 6235
 
3.1%
Decimal Number 4019
 
2.0%
Uppercase Letter 1740
 
0.9%
Close Punctuation 1573
 
0.8%
Open Punctuation 1572
 
0.8%
Math Symbol 496
 
0.2%
Dash Punctuation 132
 
0.1%
Other values (8) 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3861
 
3.0%
이 3664
 
2.9%
는 2836
 
2.2%
기 2079
 
1.6%
사 1900
 
1.5%
가 1833
 
1.4%
한 1791
 
1.4%
리 1766
 
1.4%
다 1692
 
1.3%
지 1640
 
1.3%
Other values (1676) 105278
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 1432
12.4%
o 1040
 
9.0%
a 932
 
8.1%
n 915
 
7.9%
i 885
 
7.7%
t 799
 
6.9%
r 743
 
6.5%
s 716
 
6.2%
h 526
 
4.6%
l 511
 
4.4%
Other values (17) 3016
26.2%
Uppercase Letter
ValueCountFrequency (%)
T 186
 
10.7%
S 174
 
10.0%
C 111
 
6.4%
A 99
 
5.7%
W 98
 
5.6%
M 94
 
5.4%
B 92
 
5.3%
E 88
 
5.1%
I 87
 
5.0%
P 82
 
4.7%
Other values (16) 629
36.1%
Other Punctuation
ValueCountFrequency (%)
: 3990
64.0%
. 1352
 
21.7%
! 522
 
8.4%
· 141
 
2.3%
' 116
 
1.9%
＆ 24
 
0.4%
& 19
 
0.3%
％ 18
 
0.3%
/ 10
 
0.2%
" 10
 
0.2%
Other values (8) 33
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 1063
26.4%
0 724
18.0%
2 677
16.8%
3 403
 
10.0%
5 284
 
7.1%
4 233
 
5.8%
6 182
 
4.5%
9 174
 
4.3%
7 152
 
3.8%
8 127
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 417
84.1%
~ 33
 
6.7%
+ 15
 
3.0%
> 11
 
2.2%
< 11
 
2.2%
∼ 7
 
1.4%
≫ 1
 
0.2%
≪ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1531
97.3%
] 30
 
1.9%
』 5
 
0.3%
」 4
 
0.3%
〉 2
 
0.1%
》 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1530
97.3%
[ 30
 
1.9%
『 5
 
0.3%
「 4
 
0.3%
〈 2
 
0.1%
《 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
60.0%
Ⅲ 2
 
13.3%
Ⅰ 1
 
6.7%
Ⅶ 1
 
6.7%
Ⅳ 1
 
6.7%
Ⅴ 1
 
6.7%
Other Symbol
ValueCountFrequency (%)
ⓔ 4
66.7%
℃ 1
 
16.7%
★ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
43743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 8
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 7
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127346
63.9%
Common 57801
29.0%
Latin 13270
 
6.7%
Han 986
 
0.5%
Katakana 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3861
 
3.0%
이 3664
 
2.9%
는 2836
 
2.2%
기 2079
 
1.6%
사 1900
 
1.5%
가 1833
 
1.4%
한 1791
 
1.4%
리 1766
 
1.4%
다 1692
 
1.3%
지 1640
 
1.3%
Other values (1297) 104284
81.9%
Han
ValueCountFrequency (%)
山 34
 
3.4%
大 26
 
2.6%
禮 25
 
2.5%
文 25
 
2.5%
國 24
 
2.4%
化 18
 
1.8%
院 17
 
1.7%
報 16
 
1.6%
說 16
 
1.6%
小 16
 
1.6%
Other values (361) 769
78.0%
Common
ValueCountFrequency (%)
43743
75.7%
: 3990
 
6.9%
) 1531
 
2.6%
( 1530
 
2.6%
. 1352
 
2.3%
1 1063
 
1.8%
0 724
 
1.3%
2 677
 
1.2%
! 522
 
0.9%
= 417
 
0.7%
Other values (49) 2252
 
3.9%
Latin
ValueCountFrequency (%)
e 1432
 
10.8%
o 1040
 
7.8%
a 932
 
7.0%
n 915
 
6.9%
i 885
 
6.7%
t 799
 
6.0%
r 743
 
5.6%
s 716
 
5.4%
h 526
 
4.0%
l 511
 
3.9%
Other values (49) 4771
36.0%
Katakana
ValueCountFrequency (%)
ナ 1
12.5%
ア 1
12.5%
リ 1
12.5%
ュ 1
12.5%
ジ 1
12.5%
マ 1
12.5%
ス 1
12.5%
タ 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127337
63.9%
ASCII 70806
35.5%
CJK 939
 
0.5%
None 220
 
0.1%
CJK Compat Ideographs 47
 
< 0.1%
Number Forms 15
 
< 0.1%
Punctuation 15
 
< 0.1%
Math Operators 9
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Katakana 8
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43743
61.8%
: 3990
 
5.6%
) 1531
 
2.2%
( 1530
 
2.2%
e 1432
 
2.0%
. 1352
 
1.9%
1 1063
 
1.5%
o 1040
 
1.5%
a 932
 
1.3%
n 915
 
1.3%
Other values (77) 13278
 
18.8%
Hangul
ValueCountFrequency (%)
의 3861
 
3.0%
이 3664
 
2.9%
는 2836
 
2.2%
기 2079
 
1.6%
사 1900
 
1.5%
가 1833
 
1.4%
한 1791
 
1.4%
리 1766
 
1.4%
다 1692
 
1.3%
지 1640
 
1.3%
Other values (1294) 104275
81.9%
None
ValueCountFrequency (%)
· 141
64.1%
＆ 24
 
10.9%
％ 18
 
8.2%
『 5
 
2.3%
』 5
 
2.3%
／ 5
 
2.3%
đ 4
 
1.8%
「 4
 
1.8%
」 4
 
1.8%
！ 2
 
0.9%
Other values (6) 8
 
3.6%
CJK
ValueCountFrequency (%)
山 34
 
3.6%
大 26
 
2.8%
文 25
 
2.7%
國 24
 
2.6%
化 18
 
1.9%
院 17
 
1.8%
報 16
 
1.7%
說 16
 
1.7%
小 16
 
1.7%
史 12
 
1.3%
Other values (346) 735
78.3%
CJK Compat Ideographs
ValueCountFrequency (%)
禮 25
53.2%
復 3
 
6.4%
歷 3
 
6.4%
茶 2
 
4.3%
列 2
 
4.3%
不 2
 
4.3%
李 2
 
4.3%
臨 1
 
2.1%
女 1
 
2.1%
亂 1
 
2.1%
Other values (5) 5
 
10.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
60.0%
Ⅲ 2
 
13.3%
Ⅰ 1
 
6.7%
Ⅶ 1
 
6.7%
Ⅳ 1
 
6.7%
Ⅴ 1
 
6.7%
Punctuation
ValueCountFrequency (%)
’ 7
46.7%
‘ 7
46.7%
… 1
 
6.7%
Math Operators
ValueCountFrequency (%)
∼ 7
77.8%
≫ 1
 
11.1%
≪ 1
 
11.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 3
33.3%
ㄴ 3
33.3%
ㄷ 3
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Katakana
ValueCountFrequency (%)
ナ 1
12.5%
ア 1
12.5%
リ 1
12.5%
ュ 1
12.5%
ジ 1
12.5%
マ 1
12.5%
ス 1
12.5%
タ 1
12.5%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저작자
Text

Distinct9079
Distinct (%)91.1%
Missing33
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T08:23:52.636764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length96
Mean length15.33651
Min length2

Characters and Unicode

Total characters152859
Distinct characters1139
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8499 ?
Unique (%)85.3%

Sample

1st row대니얼 트루소니 지음 ; 남명성 옮김
2nd row김은희 글 ; 루루지 그림
3rd row백승종 지음
4th row이묘신 글 ; 강은옥 그림
5th row호아킴 데 포사다 원작 ; Aha! Anistudio 글·그림
ValueCountFrequency (%)
7210
 
15.4%
지음 5672
 
12.1%
옮김 3064
 
6.6%
그림 2358
 
5.1%
글 1756
 
3.8%
저 452
 
1.0%
글·그림 362
 
0.8%
공]지음 283
 
0.6%
by 266
 
0.6%
엮음 222
 
0.5%
Other values (13637) 25046
53.6%
2023-12-12T08:23:53.271332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37235
24.4%
; 7204
 
4.7%
지 6813
 
4.5%
음 6323
 
4.1%
김 5558
 
3.6%
옮 3160
 
2.1%
이 3140
 
2.1%
그 3005
 
2.0%
림 2916
 
1.9%
글 2342
 
1.5%
Other values (1129) 75163
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96344
63.0%
Space Separator 37235
 
24.4%
Other Punctuation 8359
 
5.5%
Lowercase Letter 6782
 
4.4%
Uppercase Letter 1425
 
0.9%
Open Punctuation 1288
 
0.8%
Close Punctuation 1288
 
0.8%
Decimal Number 67
 
< 0.1%
Dash Punctuation 35
 
< 0.1%
Math Symbol 29
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6813
 
7.1%
음 6323
 
6.6%
김 5558
 
5.8%
옮 3160
 
3.3%
이 3140
 
3.3%
그 3005
 
3.1%
림 2916
 
3.0%
글 2342
 
2.4%
정 1479
 
1.5%
스 1402
 
1.5%
Other values (1044) 60206
62.5%
Lowercase Letter
ValueCountFrequency (%)
e 722
10.6%
a 607
 
9.0%
t 594
 
8.8%
r 594
 
8.8%
i 526
 
7.8%
n 476
 
7.0%
l 421
 
6.2%
y 402
 
5.9%
o 396
 
5.8%
s 320
 
4.7%
Other values (16) 1724
25.4%
Uppercase Letter
ValueCountFrequency (%)
M 141
 
9.9%
S 134
 
9.4%
B 121
 
8.5%
A 105
 
7.4%
C 99
 
6.9%
R 94
 
6.6%
J 84
 
5.9%
D 74
 
5.2%
H 72
 
5.1%
E 63
 
4.4%
Other values (14) 438
30.7%
Other Punctuation
ValueCountFrequency (%)
; 7204
86.2%
. 639
 
7.6%
· 474
 
5.7%
: 12
 
0.1%
/ 10
 
0.1%
＆ 8
 
0.1%
' 7
 
0.1%
& 3
 
< 0.1%
! 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 22
32.8%
0 11
16.4%
3 11
16.4%
9 6
 
9.0%
2 5
 
7.5%
4 4
 
6.0%
6 3
 
4.5%
7 3
 
4.5%
5 2
 
3.0%
Open Punctuation
ValueCountFrequency (%)
[ 1282
99.5%
〈 3
 
0.2%
( 2
 
0.2%
『 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 1282
99.5%
〉 3
 
0.2%
) 2
 
0.2%
』 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 13
44.8%
> 13
44.8%
｜ 2
 
6.9%
+ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
37235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 4
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96057
62.8%
Common 48308
31.6%
Latin 8207
 
5.4%
Han 287
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6813
 
7.1%
음 6323
 
6.6%
김 5558
 
5.8%
옮 3160
 
3.3%
이 3140
 
3.3%
그 3005
 
3.1%
림 2916
 
3.0%
글 2342
 
2.4%
정 1479
 
1.5%
스 1402
 
1.5%
Other values (900) 59919
62.4%
Han
ValueCountFrequency (%)
著 37
 
12.9%
金 12
 
4.2%
李 10
 
3.5%
譯 10
 
3.5%
共 7
 
2.4%
朴 6
 
2.1%
編 5
 
1.7%
美 4
 
1.4%
大 4
 
1.4%
子 4
 
1.4%
Other values (134) 188
65.5%
Latin
ValueCountFrequency (%)
e 722
 
8.8%
a 607
 
7.4%
t 594
 
7.2%
r 594
 
7.2%
i 526
 
6.4%
n 476
 
5.8%
l 421
 
5.1%
y 402
 
4.9%
o 396
 
4.8%
s 320
 
3.9%
Other values (40) 3149
38.4%
Common
ValueCountFrequency (%)
37235
77.1%
; 7204
 
14.9%
[ 1282
 
2.7%
] 1282
 
2.7%
. 639
 
1.3%
· 474
 
1.0%
- 35
 
0.1%
1 22
 
< 0.1%
< 13
 
< 0.1%
> 13
 
< 0.1%
Other values (25) 109
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96055
62.8%
ASCII 56018
36.6%
None 493
 
0.3%
CJK 273
 
0.2%
CJK Compat Ideographs 14
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37235
66.5%
; 7204
 
12.9%
[ 1282
 
2.3%
] 1282
 
2.3%
e 722
 
1.3%
. 639
 
1.1%
a 607
 
1.1%
t 594
 
1.1%
r 594
 
1.1%
i 526
 
0.9%
Other values (66) 5333
 
9.5%
Hangul
ValueCountFrequency (%)
지 6813
 
7.1%
음 6323
 
6.6%
김 5558
 
5.8%
옮 3160
 
3.3%
이 3140
 
3.3%
그 3005
 
3.1%
림 2916
 
3.0%
글 2342
 
2.4%
정 1479
 
1.5%
스 1402
 
1.5%
Other values (899) 59917
62.4%
None
ValueCountFrequency (%)
· 474
96.1%
＆ 8
 
1.6%
〉 3
 
0.6%
〈 3
 
0.6%
｜ 2
 
0.4%
『 1
 
0.2%
½ 1
 
0.2%
』 1
 
0.2%
CJK
ValueCountFrequency (%)
著 37
 
13.6%
金 12
 
4.4%
譯 10
 
3.7%
共 7
 
2.6%
朴 6
 
2.2%
編 5
 
1.8%
美 4
 
1.5%
大 4
 
1.5%
子 4
 
1.5%
信 4
 
1.5%
Other values (131) 180
65.9%
CJK Compat Ideographs
ValueCountFrequency (%)
李 10
71.4%
烈 3
 
21.4%
林 1
 
7.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

발행자
Text

Distinct3116
Distinct (%)31.2%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T08:23:53.655452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length4.789858
Min length1

Characters and Unicode

Total characters47889
Distinct characters848
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1764 ?
Unique (%)17.6%

Sample

1st row문학동네
2nd row북스
3rd row돌베개
4th row해와나무
5th row새롬주니어
ValueCountFrequency (%)
문학동네 189
 
1.8%
창비 146
 
1.4%
비룡소 103
 
1.0%
민음사 100
 
1.0%
김영사 90
 
0.9%
문학과지성사 77
 
0.7%
사계절 76
 
0.7%
예림당 65
 
0.6%
시공사 63
 
0.6%
위즈덤하우스 56
 
0.5%
Other values (3186) 9427
90.7%
2023-12-12T08:23:54.294074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1547
 
3.2%
스 1477
 
3.1%
북 1113
 
2.3%
이 1100
 
2.3%
문 902
 
1.9%
어 895
 
1.9%
: 715
 
1.5%
아 679
 
1.4%
학 638
 
1.3%
리 617
 
1.3%
Other values (838) 38206
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41227
86.1%
Lowercase Letter 3732
 
7.8%
Uppercase Letter 1206
 
2.5%
Other Punctuation 820
 
1.7%
Space Separator 402
 
0.8%
Open Punctuation 168
 
0.4%
Close Punctuation 168
 
0.4%
Decimal Number 157
 
0.3%
Dash Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1547
 
3.8%
스 1477
 
3.6%
북 1113
 
2.7%
이 1100
 
2.7%
문 902
 
2.2%
어 895
 
2.2%
아 679
 
1.6%
학 638
 
1.5%
리 617
 
1.5%
미 549
 
1.3%
Other values (760) 31710
76.9%
Lowercase Letter
ValueCountFrequency (%)
o 512
13.7%
r 358
9.6%
s 357
9.6%
e 326
 
8.7%
i 299
 
8.0%
n 263
 
7.0%
a 252
 
6.8%
k 162
 
4.3%
l 156
 
4.2%
t 155
 
4.2%
Other values (17) 892
23.9%
Uppercase Letter
ValueCountFrequency (%)
B 189
15.7%
H 106
 
8.8%
P 105
 
8.7%
K 83
 
6.9%
M 80
 
6.6%
S 76
 
6.3%
R 72
 
6.0%
O 53
 
4.4%
Y 48
 
4.0%
C 43
 
3.6%
Other values (15) 351
29.1%
Other Punctuation
ValueCountFrequency (%)
: 715
87.2%
＆ 33
 
4.0%
. 27
 
3.3%
& 21
 
2.6%
' 9
 
1.1%
· 7
 
0.9%
; 3
 
0.4%
# 3
 
0.4%
@ 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 69
43.9%
1 63
40.1%
0 10
 
6.4%
3 6
 
3.8%
4 5
 
3.2%
6 2
 
1.3%
7 1
 
0.6%
8 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 159
94.6%
[ 9
 
5.4%
Close Punctuation
ValueCountFrequency (%)
) 159
94.6%
] 9
 
5.4%
Space Separator
ValueCountFrequency (%)
402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41011
85.6%
Latin 4938
 
10.3%
Common 1724
 
3.6%
Han 216
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1547
 
3.8%
스 1477
 
3.6%
북 1113
 
2.7%
이 1100
 
2.7%
문 902
 
2.2%
어 895
 
2.2%
아 679
 
1.7%
학 638
 
1.6%
리 617
 
1.5%
미 549
 
1.3%
Other values (665) 31494
76.8%
Han
ValueCountFrequency (%)
社 21
 
9.7%
文 17
 
7.9%
版 9
 
4.2%
出 8
 
3.7%
大 7
 
3.2%
明 7
 
3.2%
堂 5
 
2.3%
化 5
 
2.3%
民 4
 
1.9%
硏 4
 
1.9%
Other values (85) 129
59.7%
Latin
ValueCountFrequency (%)
o 512
 
10.4%
r 358
 
7.2%
s 357
 
7.2%
e 326
 
6.6%
i 299
 
6.1%
n 263
 
5.3%
a 252
 
5.1%
B 189
 
3.8%
k 162
 
3.3%
l 156
 
3.2%
Other values (42) 2064
41.8%
Common
ValueCountFrequency (%)
: 715
41.5%
402
23.3%
( 159
 
9.2%
) 159
 
9.2%
2 69
 
4.0%
1 63
 
3.7%
＆ 33
 
1.9%
. 27
 
1.6%
& 21
 
1.2%
0 10
 
0.6%
Other values (16) 66
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41010
85.6%
ASCII 6620
 
13.8%
CJK 214
 
0.4%
None 42
 
0.1%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1547
 
3.8%
스 1477
 
3.6%
북 1113
 
2.7%
이 1100
 
2.7%
문 902
 
2.2%
어 895
 
2.2%
아 679
 
1.7%
학 638
 
1.6%
리 617
 
1.5%
미 549
 
1.3%
Other values (664) 31493
76.8%
ASCII
ValueCountFrequency (%)
: 715
 
10.8%
o 512
 
7.7%
402
 
6.1%
r 358
 
5.4%
s 357
 
5.4%
e 326
 
4.9%
i 299
 
4.5%
n 263
 
4.0%
a 252
 
3.8%
B 189
 
2.9%
Other values (65) 2947
44.5%
None
ValueCountFrequency (%)
＆ 33
78.6%
· 7
 
16.7%
đ 2
 
4.8%
CJK
ValueCountFrequency (%)
社 21
 
9.8%
文 17
 
7.9%
版 9
 
4.2%
出 8
 
3.7%
大 7
 
3.3%
明 7
 
3.3%
堂 5
 
2.3%
化 5
 
2.3%
民 4
 
1.9%
硏 4
 
1.9%
Other values (83) 127
59.3%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
良 1
50.0%
金 1
50.0%

발행년
Text

Distinct59
Distinct (%)0.6%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T08:23:54.543296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.0055017
Min length3

Characters and Unicode

Total characters40043
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.1%

Sample

1st row2013
2nd row2012
3rd row2003
4th row2019
5th row2008
ValueCountFrequency (%)
2014 974
 
9.7%
2013 952
 
9.5%
2012 903
 
9.0%
2011 768
 
7.7%
2018 662
 
6.6%
2016 623
 
6.2%
2017 558
 
5.6%
2015 518
 
5.2%
2020 473
 
4.7%
2019 421
 
4.2%
Other values (44) 3145
31.5%
2023-12-12T08:23:54.958937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12952
32.3%
2 11491
28.7%
1 8281
20.7%
9 1393
 
3.5%
3 1347
 
3.4%
4 1275
 
3.2%
8 870
 
2.2%
5 845
 
2.1%
6 821
 
2.1%
7 687
 
1.7%
Other values (12) 81
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39962
99.8%
Other Letter 33
 
0.1%
Close Punctuation 24
 
0.1%
Open Punctuation 24
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12952
32.4%
2 11491
28.8%
1 8281
20.7%
9 1393
 
3.5%
3 1347
 
3.4%
4 1275
 
3.2%
8 870
 
2.2%
5 845
 
2.1%
6 821
 
2.1%
7 687
 
1.7%
Other Letter
ValueCountFrequency (%)
발 6
18.2%
행 6
18.2%
년 6
18.2%
불 5
15.2%
명 5
15.2%
미 1
 
3.0%
상 1
 
3.0%
애 1
 
3.0%
장 1
 
3.0%
판 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
] 24
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40010
99.9%
Hangul 33
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12952
32.4%
2 11491
28.7%
1 8281
20.7%
9 1393
 
3.5%
3 1347
 
3.4%
4 1275
 
3.2%
8 870
 
2.2%
5 845
 
2.1%
6 821
 
2.1%
7 687
 
1.7%
Other values (2) 48
 
0.1%
Hangul
ValueCountFrequency (%)
발 6
18.2%
행 6
18.2%
년 6
18.2%
불 5
15.2%
명 5
15.2%
미 1
 
3.0%
상 1
 
3.0%
애 1
 
3.0%
장 1
 
3.0%
판 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40010
99.9%
Hangul 33
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12952
32.4%
2 11491
28.7%
1 8281
20.7%
9 1393
 
3.5%
3 1347
 
3.4%
4 1275
 
3.2%
8 870
 
2.2%
5 845
 
2.1%
6 821
 
2.1%
7 687
 
1.7%
Other values (2) 48
 
0.1%
Hangul
ValueCountFrequency (%)
발 6
18.2%
행 6
18.2%
년 6
18.2%
불 5
15.2%
명 5
15.2%
미 1
 
3.0%
상 1
 
3.0%
애 1
 
3.0%
장 1
 
3.0%
판 1
 
3.0%

가격
Text

Distinct190
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:23:55.285779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.7005
Min length1

Characters and Unicode

Total characters47005
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)0.5%

Sample

1st row12000
2nd row9800
3rd row18000
4th row10000
5th row8800
ValueCountFrequency (%)
12000 1240
 
12.4%
13000 821
 
8.2%
15000 752
 
7.5%
10000 690
 
6.9%
11000 617
 
6.2%
14000 400
 
4.0%
9000 378
 
3.8%
8000 326
 
3.3%
9500 307
 
3.1%
16000 306
 
3.1%
Other values (180) 4163
41.6%
2023-12-12T08:23:55.722155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27619
58.8%
1 7546
 
16.1%
5 2540
 
5.4%
8 2234
 
4.8%
2 2184
 
4.6%
3 1409
 
3.0%
9 1281
 
2.7%
4 840
 
1.8%
7 738
 
1.6%
6 612
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47003
> 99.9%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27619
58.8%
1 7546
 
16.1%
5 2540
 
5.4%
8 2234
 
4.8%
2 2184
 
4.6%
3 1409
 
3.0%
9 1281
 
2.7%
4 840
 
1.8%
7 738
 
1.6%
6 612
 
1.3%
Other Letter
ValueCountFrequency (%)
책 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47003
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27619
58.8%
1 7546
 
16.1%
5 2540
 
5.4%
8 2234
 
4.8%
2 2184
 
4.6%
3 1409
 
3.0%
9 1281
 
2.7%
4 840
 
1.8%
7 738
 
1.6%
6 612
 
1.3%
Hangul
ValueCountFrequency (%)
책 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47003
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27619
58.8%
1 7546
 
16.1%
5 2540
 
5.4%
8 2234
 
4.8%
2 2184
 
4.6%
3 1409
 
3.0%
9 1281
 
2.7%
4 840
 
1.8%
7 738
 
1.6%
6 612
 
1.3%
Hangul
ValueCountFrequency (%)
책 2
100.0%

분관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
예산군립도서관
8235 
삽교도서관
1765 

Length

Max length7
Median length7
Mean length6.647
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row예산군립도서관
2nd row예산군립도서관
3rd row삽교도서관
4th row예산군립도서관
5th row예산군립도서관

Common Values

ValueCountFrequency (%)
예산군립도서관 8235
82.3%
삽교도서관 1765
 
17.6%

Length

2023-12-12T08:23:55.883146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:23:56.017513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예산군립도서관 8235
82.3%
삽교도서관 1765
 
17.6%

Interactions

2023-12-12T08:23:48.986323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:23:56.081682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년분관
연번1.0000.8990.993
발행년0.8991.0000.966
분관0.9930.9661.000
2023-12-12T08:23:56.191520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분관
연번1.0000.927
분관0.9271.000

Missing values

2023-12-12T08:23:49.114585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:23:49.244580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T08:23:49.360185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번등록번호청구기호서명저작자발행자발행년가격분관
1332513326YM0000013708843.6-트296ㅊ-v.1천사학. 1대니얼 트루소니 지음 ; 남명성 옮김문학동네201312000예산군립도서관
4433644337KM0000009512아990.94-역52ㅂ-19쯩자매 : 베트남의 독립을 이룬 자매 여왕김은희 글 ; 루루지 그림북스20129800예산군립도서관
7202872029EM0000020111151.52-백57ㄷ대숲에 앉아 천명도를 그리네백승종 지음돌베개200318000삽교도서관
5852758528KM0000024631아808.91-이63ㅎ-5강아지 시험이묘신 글 ; 강은옥 그림해와나무201910000예산군립도서관
5179751798KM0000017491아325.211-포52ㅁ-v.3(만화)마시멜로 이야기. 3: 나의 오늘을 특별한 내일로 만들자호아킴 데 포사다 원작 ; Aha! Anistudio 글·그림새롬주니어20088800예산군립도서관
2821728218YM0000028945714-백66ㄷ단어의 사연들 : 내가 모르는 단어는 내가 모르는 세계다백우진 지음Whale Books(웨일북)201913000예산군립도서관
259260YM0000000266004.582-이82ㅌ트위터는 넓게 페이스북은 깊게 블로그는 소신있게이창현 지음가메201120000예산군립도서관
7267672677EM0000020934325.04-슈798ㅇ위대한 기업의 조건라인하르트 K. 슈프렝어 지음 ; 배진아 옮김더난200415000삽교도서관
95299530YM0000009777511.187-혼44ㄴ노안 치유법 : 평생 늙지 않는 눈을 만드는 하.루.5.분.트.레.이.닝혼베 카즈히로 지음 ; 강철호 옮김어바웃어북201313800예산군립도서관
6964269643EM0000017293320.904-데52ㅁ마르크스의 복수메그나드 데사이 지음 ; 김종원 옮김아침이슬200318500삽교도서관
연번등록번호청구기호서명저작자발행자발행년가격분관
57745775YM0000005918680.99-백57ㅇ20세기를 빛낸 극작가 20인백승무 지음살림20123300예산군립도서관
2236722368YM0000023050853-얀25ㅂ별을 타는 아이 : 작은 별들이 영원히 빛나다얀도 지음 ; 이기숙 옮김펭귄카페201612000예산군립도서관
4709747098KM0000012520유808.91-미57ㅋ-v.32쿵작쿵작 둥둥 빠밤실비 미슬린 글 ; 아망딘 피유 그림 ; 글맛 옮김키즈엠20147500예산군립도서관
3863538636KM0000000916아408-야36ㅇ-v.2지구를 숨 쉬게 하는 바람정창훈 글 ; 김진화 그림웅진씽크빅:웅진주니어20119500예산군립도서관
2021620217YM0000020865823.7-얼66ㄱ-v.6강희대제 : 제왕삼부곡 : 얼웨허 역사소설. 6얼웨허 지음 ; 홍순도 옮김더봄201512000예산군립도서관
6709767098EM0000010898813.6-김225ㅂ(중학생이 보는)붉은 산김동인 지음 ; 성낙수 ; 유의종 ; 조현숙 [공]엮음신원문화사20015000삽교도서관
6971569716EM0000017374320.911-김75ㅁ미끼경제김종찬 지음새로운사람들200312000삽교도서관
62056206YM0000006365892.83-벨293ㅁ물고기 인간알렉산드르 벨랴예프 지음 ; 김준수 옮김마마미소201212500예산군립도서관
1352313524YM0000013920813.7-순18ㅊ-v.5치즈 인 더 트랩. 5 = Cheese in the trap순끼 글·그림재미주의:웅진씽크빅201211000예산군립도서관
1307513076YM0000013450606.927-최14ㅅ스페인 미술관 산책최경화 지음SIGONGART(시공사)201316000예산군립도서관